Prescription Drug Misuse Webinar Q&A

by Betsy Sears on June 17, 2013

What was the number of those on prescription drugs that you gave in the beginning of the presentation? I believe you stated 116, is that 116 million?

The numbers I referred to during the presentation were 116 million individuals in the U.S. suffering from chronic pain (more than those suffering from diabetes, cancer and heart disease combined). Deaths from prescription painkillers were estimated to be 16,451 in 2010 per the CDC. Another figure cited from the CDC was that doctors are currently writing more than 300 million prescriptions for painkillers every year.

Do the stats about Rx drug induced deaths include suicides, or are these separate?

JAMA published survey results on prescription overdose deaths in 2010 and stated “In 2010, there were 38,329 drug overdose deaths in the United States, 22,134 (57.7%) involved pharmaceuticals; 9,429 (24.6%) involved only unspecified drugs. Of the pharmaceutical-related overdose deaths, 16,451 (74.3%) were unintentional, 3,780 (17.1%) were suicides and 1,868 (8.4%) were of undetermined intent”.

Source: Journal of the American Medical Association, February 20, 2013, Vol 309, No. 7, p. 658

Are there any stats about deaths from motor vehicle accidents caused by drivers who were taking Rx painkillers?

The presence of all types of drugs in fatal crashes has increased 5% in the past five years, according to 2005-2009 data, compiled and analyzed for the first time by NHTSA. A first-ever drug analysis of drivers killed in car crashes found one in three tested positive for drugs in 2009, the Office of National Drug Control Policy reported. Of the 12,055 drivers tested in 2009, roughly 3,952 tested positive for drugs.

Source: cnn.com/2010/11/30/drugs-common-in-fatal-car-crashes/ 

We have been testing only for cocaine and meth/amphetamines. Are more companies using the expanded drug panel on their insurance exam testing?

There are an increasing number of life insurance companies screening and/or ordering full drug screens (Drug 5 panel/Drug 8 panel) to identify illicit drug use. Those particular panels have been utilized in our industry for more than 20 years. The expanded drug panel is brand new and was developed in response to the rising problem of prescription drug misuse. This new panel offers lower, more sensitive opiate cutoffs to aid in identifying hydrocodone, oxycodone and other synthetic opiates in a urine specimen. The current Drug 5 and Drug 8 panels will not pick these drugs up. With the increase in prescription drug overdose deaths – resulting in an increase in mortality risk for life insurers – we expect insurance companies to begin utilizing this more sensitive assay and also to continue utilizing a prescription database product.

It was stated that Florida has the highest death rates from prescription overdoses. Do the studies show if this is more prevalent in the elderly population versus younger ages?

In 2010, New Mexico (27 per 100,000) actually had the highest death rate, with West Virginia coming in second (25.8 per 100,000). Florida came in 7th with death rates from prescription overdose at 16.5 per 100,000. Although I am unable to find age breakdown on deaths specifically for the state of Florida, overall U.S. prescription drug deaths are more prevalent in the 45 to 65 age range. Florida is, however, the state leading prescription painkiller sales at 3 times higher than the state with the lowest rate of sales.

Source: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6043a4.html 

 

You can still listen to Betsy’s webcast by clicking here.

Obesity is increasingly becoming one of several high-risk mortality indicators. Morbid obesity, which is in the top rank of obesity classification is defined as the Body Mass Index (BMI) greater than or equal to 40 kgm-2. (Standard World Health Organization’s BMI classification can be found here.) Since morbid obesity is closely linked to extremely high risks of diabetes, cancer and heart disease, it becomes very important to continue to monitor its geographic distribution and demographic patterns across the country. This report, which presents a preliminary statistical investigation on the geographic distribution of morbid obesity across the United States, provides insights and critical decision making information for health risk assessors and other relevant users.

Data Overview

Data sets for years 2011 – 2012 were analyzed. About 3.2 million records were available with height/weight measurements from which morbid obesity (BMI≥40) rates were calculated with a 3-digit zip code precision.

Preliminary Results

High Occurrence

Results reveal that locations around Arkansas, especially to the eastern parts, central Mississippi and west central Alabama are areas with high occurrence of morbid obesity in the country (see Fig. 1). Results further show that approximately 8-9% occurrence of morbid obesity are reported across each of these locations, indicating nearly 1 out of 10 life insurance applicants in these areas are morbidly obese.

Figure 1: Morbid obesity rates among ExamOne life insurance applicants: 2011-2012

 

Moderate Occurrence

Locations around New Mexico, north central Pennsylvania and West Virginia reported moderately morbid obesity occurrence. In addition, northeast Massachusetts, central Washington DC, central South Carolina and north eastern Oregon also recorded moderately morbid obesity. These locations are all within the 5% moderately morbid obesity range meaning nearly 1 out of 20 life insurance applicants in these areas are morbidly obese.

Low Occurrence

As might be expected, Colorado and northern California recorded a very low morbid obesity rate of approximately less than 1%. This suggests that nearly 1 out of 100 life insurance applicants in these areas are morbidly obese.

We have found that Colorado and northern parts of California reported the lowest rates of morbidly obese life insurance applicants, while the eastern parts of Arkansas reported the highest rates of morbidly obese life insurance applicants. Some of the suggested determining factors for the observed distribution patterns of morbid obesity across the country include level of exercise and good nutrition, education and income, weather conditions and possibly social pressure. Nearly 7 out of 10 residents of Colorado are bicyclists. With nearly 330 days of sunshine per year in Colorado, residents have more opportunities for outdoor fitness activities.

It is interesting to note that our findings are in agreement with the majority of previous obesity studies. However, these previous studies used somewhat inaccurate obesity data because their data was dependent on the applicants’ sincerity in reporting their obesity status. Data demonstrates that most people are not truthful when reporting their obesity status, especially women. To receive the most accurate data for this study, we used obesity data computed directly from ExamOne screen laboratory results for life insurance applicants. Thus eliminating issues with applicants incorrectly reporting their obesity status. This study provides value-added contributions to correctly represent and understand the morbid obesity distribution across the United States.

 

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